joekimga
Data Analyst/Scientist with a background in Web-Development, Networking, and Datacenters who can illustrate data with the appropriate visuals.
Atlanta, GA
Pinned Repositories
advanced_javascript
auth0
Basic-Portfolio
ContactPageFirebaseTest
leaflet-challenge
Leaflet, JavaScript, HTML, CSS, and Mapbox were used to create an earthquake map.
plotly-challenge
Dynamic Dashboard that shows the biodiversity of microbes living in the human navel. D3, Plotly, JavaScript, HTML, and CSS were used to create this Dashboard.
python-api-challenge
This project uses the data from 500+ cities to showcase the relationships between Temperature, Humidity, Cloudiness, and Windspeed. Python, Pandas, Jupyter Notebook, Matplotlib, and Gmaps were used in this project.
sql-challenge
CSV files were imported and joined into PostgreSQL to create a database using SQL.
sqlalchemy-challenge
An analysis that evaluates the climate and other factors in Hawaii. SQLAlchemy ORM queries, Python, Pandas, JavaScript, Matplotlib and a Flask API were used to do the analysis.
Web-Design-Challenge
This project helps display the scatterplot graphs from a previous project and helps in comparing them. HTML and CSS was used to illustrate the Scatterplots that were used by Python, Pandas, Jupyter Notebook, and Plotly.
joekimga's Repositories
joekimga/advanced_javascript
joekimga/leaflet-challenge
Leaflet, JavaScript, HTML, CSS, and Mapbox were used to create an earthquake map.
joekimga/plotly-challenge
Dynamic Dashboard that shows the biodiversity of microbes living in the human navel. D3, Plotly, JavaScript, HTML, and CSS were used to create this Dashboard.
joekimga/python-api-challenge
This project uses the data from 500+ cities to showcase the relationships between Temperature, Humidity, Cloudiness, and Windspeed. Python, Pandas, Jupyter Notebook, Matplotlib, and Gmaps were used in this project.
joekimga/sql-challenge
CSV files were imported and joined into PostgreSQL to create a database using SQL.
joekimga/sqlalchemy-challenge
An analysis that evaluates the climate and other factors in Hawaii. SQLAlchemy ORM queries, Python, Pandas, JavaScript, Matplotlib and a Flask API were used to do the analysis.
joekimga/Web-Design-Challenge
This project helps display the scatterplot graphs from a previous project and helps in comparing them. HTML and CSS was used to illustrate the Scatterplots that were used by Python, Pandas, Jupyter Notebook, and Plotly.
joekimga/burgers
joekimga/cuddly-couscous
test
joekimga/D3-Challenge
joekimga/Excel-Starter-Book
joekimga/gt-prj1-crime-data
This project shows the crime trends in Atlanta from 2009-2020. We focused on how the Covid-19 pandemic effected crime rates. Python was used in Pandas and Jupyter Notebook to analyze the data while Matplotlib and Seaborn was used to illustrate the data. Google maps API was used to generate a heatmap to illustrate the top 10 neighborhoods in Atlanta with the most crime.
joekimga/gt_project2
This project showcases an interactive website that displays global space launch data from 1957-August 2020 that was obtained from Kaggle (https://www.kaggle.com/davidroberts13/one-small-step-for-data). We used a Python Flask-powered API with HTML/CSS, JavaScript, and SQL to complete this project.
joekimga/Hot-Restaurant
joekimga/javascript-challenge
joekimga/joekimga.github.io
joekimga/liri-node-app
joekimga/machine-learning-challenge
joekimga/matplotlib-challenge
joekimga/NewsScrape
joekimga/pandas-challenge
joekimga/Portfolio
portfolio url = https://joekimga.github.io/Portfolio/
joekimga/project-3-joe-test
joekimga/python-challenge
joekimga/react-test
joekimga/stroke_analysis
Machine Learning project that predict a user's stroke risk using a Tableau Dashboard. Python in Pandas, with Jupyter Notebook were used to clean and model the data. Tabpy was used to link the Jupyter Notebook to the Tableau Dashboard.
joekimga/Test1
joekimga/VBA-Challenge
joekimga/Web-Design-ChallengeJLVP
Homework Web-Design JLVP
joekimga/web-scraping-challenge